Using data from a problem-posing project, this study analyzed the characteristics of middle school students' responses to problem-posing prompts that did not match our assumptions and expectations to better understand student thinking. The study found that the characteristics of middle school students' unexpected responses were distributed across…

The advancement of large language model-based generative artificial intelligence (LLM-based GenAI) has sparked significant interest in its potential to address challenges in computational thinking (CT) education. CT, a critical problem-solving approach in the digital age, encompasses elements such as abstraction, iteration, and generalisation.…

Some readers thrive more than others because they are more actively involved in their learning. All students can become active participants in their learning through quality teacher prompting. In this article, teachers will learn how to promote emergent learners' active participation as they decode and comprehend, while problem-solving unknown…

With the aim of engaging more students in meaningful thinking in mathematics, a cohort of Year 7 students were introduced to a 'Building Thinking Classrooms' framework for learning in mathematics. In this paper, the authors outline the key features of the implemented framework and share reflections on challenges and benefits.

Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…

Background: Metacognitive processes have been linked to the development of conceptual knowledge in STEM courses, but previous work has centered on the regulatory aspects of metacognition. Purpose: We interrogated the relationship between epistemic metacognition and conceptual knowledge in engineering statics courses across six universities by…

This study explores and analyzes the specific performance of large language models (LLMs) in instructional design, aiming to unveil their potential strengths and possible weaknesses. Recently, the influence of LLMs has gradually increased in multiple fields, yet exploratory research on their application in education remains relatively scarce. In…

This investigation explored collaborative problem solving with and without a coach by analyzing problem-solving (PS) and problem-solving-prompting (PSP) behaviors by group members and coaches in six total coached rehearsals with three collegiate string quartets, and six autonomous rehearsals with the same string quartets. Teachers' and learners'…

Little is known about the role of prompts to help learners solve ill-structured learning problems. Instructors do not devote adequate time to formulate pedagogically useful prompts, and the usefulness of different types of prompt is unclear. This mixed-methods study examined the role of argumentative prompts in the writing of essays based on…

Self-explanation prompts in example-based learning are usually directed backwards: Learners are required to self-explain problem-solving steps just presented ("retrospective" prompts). However, it might also help to self-explain upcoming steps ("anticipatory" prompts). The effects of the prompt type may differ for learners with…

Differential observing responses (DORs) are additional response requirements used to promote orientation to a stimulus in a discrimination task. Farber and Dickson (2023) recently provided a DOR taxonomy, and these authors reported that no prior research has compared the effects of distinct DOR requirements. We compared the effects of two DOR…

Collaborative problem solving is widely recognized as a critical 21st-century skill. Assessing collaborative problem solving depends on coding the communication data using a construct-relevant framework, and this process has long been a major bottleneck to scaling up such assessments. Based on five datasets and two coding frameworks, we…

Diagrams are ubiquitous in physics, especially in physics education and physics problem solving. Physics problem solvers may generate diagrams to orient to a scenario, to organize information, to directly obtain an answer, or as a tool of communication. In this study, we asked 19 undergraduate and graduate physics majors to answer 18…

Mathematical problem-posing (MPP) offers an alternative to teacher-directed approaches by encouraging students to create and solve their own problems. While MPP is supported by the Australian Curriculum and empirical research has increased over the last decade, implementation in classrooms is still limited. Using The Theory of Practice…

Peer feedback is regarded as playing a vital role in fostering preservice teachers' noticing and reasoning skills during technology integration. However, novices in particular (e.g., pre-service teachers) tend to provide rather superficial feedback, which does not necessarily contribute to professional development. Against this background, we…